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Publication Type : Journal Article
Publisher : Elsevier
Source : Third International Conference on Computing and Network Communications (CoCoNet’19), Procedia Computer Science.
Campus : Bengaluru
School : School of Engineering
Year : 2022
Abstract : Brain being the most complex organ in our body, its analysis and functional modelling has always fascinated the scientific community. In this paper, the neuronal behavior of a set of four neurons connected linearly and mutually have been modelled and analyzed to understand the data processing in the brain. The Hodgkin-Huxley neuronal model have been used as the basis in which neurons are connected with sequential and no self-coupling as well as bi-directional coupling with feedforward and inhibitory feedback connections. Later this model is extended to form a large biophysical neuronal network in MATLAB, where-in various probability distributions like normal, uniform and poisson are used to model the coupling coefficients with the intention of identifying the distributions best suited for the neural mass.
Cite this Research Publication : Sunitha .R, Sreedevi. A, “Dynamics of a Neural Mass Coupled With Probabilistic Distributions-A Pilot Study”, Third International Conference on Computing and Network Communications (CoCoNet’19), Procedia Computer Science.